A temporal correlation coefficient model of grain temperature field cloud maps in horizontal warehouses

Chaosai, 2022, Element tests and simulation of effects of vertical pressure on compression and mildew of wheat, Comput. Electron. Agric., 203 Chuanxu, 2021, Research and realization of granary temperature field prediction model based on Kriging interpolation and BP neural network, J. Agric. Sci. Technol., 23, 96 Dandan, 2017, A study on the strategy of grain import and export in China from the perspective of domestic food security, Reformation & Stratgy, 33 Di, 2017, Modeling grain quality characteristics via dynamic models using sensing data Éverton, 2023, Equilibrium moisture content and dioxide carbon monitoring in real-time to predict the quality of corn grain stored in silo bags using artificial neural networks, Food Anal. Methods, 16, 1079, 10.1007/s12161-023-02497-2 Hongwei, 2019, Monitoring method of stored grain quantity based on temperature field cloud maps, Trans. Chin. Soc. Agric. Eng., 35, 296 Hongwei, 2019, Reserves monitoring method for grain storage based on temporal and spatial correlation of grain temperature, Trans. Chin. Soc. Agric. Mach., 50, 321 Hongwei, 2021, Classification of grain storage inventory modes based on temperature contour map of grain bulk using Back Propagation neural network, Agriculture, 11, 451, 10.3390/agriculture11050451 Hongwei, 2022, Modeling and application of temporal correlation of grain temperature during grain storage, Agriculture, 12, 1883, 10.3390/agriculture12111883 Jingjing, 2019 Jinpeng, 2023, Online temperature monitoring technology for grain storage: a three-dimensional visualisation method based on adaptive neighbourhood clustering algorithm, J. Sci. Food Agric. Lijuan, 2022, Texture feature extraction of red Jujube based on gray-level co-occurrence matrix[J], Technology Wind, 78 Lin, 2020, Quasi-Distributed fiber optic temperature and humidity sensor system for monitoring of grain storage in granaries, IEEE Sensor. J., 20, 9226, 10.1109/JSEN.2020.2989163 Mohammed, 2018, Finite element simulation of temperature variation in grain metal silo, Res. Agric. Eng., 64, 107, 10.17221/101/2016-RAE Moslehi, 2019, Using Color Coherence Vectors to evaluate the performance of hydrologic data assimilation, Water Resour. Res., 55, 1717, 10.1029/2018WR023533 Ojala, 1996, A comparative study of texture measures with classification based on featured distributions, Pattern Recogn., 29, 51, 10.1016/0031-3203(95)00067-4 Ojala, 2002, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Trans. Pattern Anal. Mach. Intell., 24, 971, 10.1109/TPAMI.2002.1017623 Pass, 1997, Comparing images using color coherence vectors, Multimed, 65 Puthukulangara, 2022, Integrated approach on stored grain quality management with CO2 monitoring-A review, J. Stored Prod. Res., 96 Qinqin, 2019, Assessment of variation in paddy microbial communities under different storage temperatures and relative humidity by Illumina sequencing analysis, Food Res. Int., 126 Ridha, 2017, EEG-Based computer aided diagnosis of autism spectrum disorder using wavelet, Entropy, and ANN. BioMed Research International, 2017 Shanshan, 2019, Grain pile temperature forecasting from weather factors: a support vector regression approach, Proc. IEEE/CIC ICCC, 1 Shuo, 2019, Integrated model of BP neural network and CNN algorithm for automatic wear debris classification, Wear, 426–427, 1761 Vecsei, 2008, Towards automated diagnosis of celiac disease by computer-assisted classification of duodenal imagery Wenfu, 2021, Digital monitoring of grain conditions in large-scale bulk storage facilities based on spatiotemporal distributions of grain temperature, Biosyst. Eng., 210, 247, 10.1016/j.biosystemseng.2021.08.028 Xiangxiang, 2022, Research on the temperature field of grain piles in underground grain silos lined with plastic, J. Food Process. Eng., 45 Xiaomeng, 2018, Analysis of wheat bulk mould and temperature-humidity coupling based on temperature and humidity field cloud map, Trans. Chin. Soc. Agric. Eng., 34, 260 Xiaomeng, 2019, Research on temperature and humidity field change during corn bulk microbiological heating, Trans. Chin. Soc. Agric. Eng., 35, 268 Xiaomeng, 2021, Cloud image analysis of temperature changes during bulk corn microbiological heating, Int. J. Food Prop., 24, 1777, 10.1080/10942912.2021.2000432 Yongming, 2015, Analysis of grayscale characteristics in images of labeled microtubules from cultured cardiac myocytes, Microsc. Microanal., 21, 334, 10.1017/S1431927615000185 Zhengyan, 2011, Effects of different temperatures on the storage quality of the three grains, 523 Zidan, 2020, Interactions of multiple biological fields in stored grain ecosystems, Sci. Rep., 10, 9302, 10.1038/s41598-020-66130-6